Unital Design Based Location Service for Subterranean Network Using Long Range Topology

Wireless Underground Networks comprise the ability to constantly monitor several physical parameters such as ground temperature, water level and soil condition, and these are required to know the underground surface. A major challenge in wireless underground sensor networks is limited coverage area, high deployment costs, complex network topology, and identifying the better position for node deployment. To overcome these challenges, this research design an effective approach of localization algorithm that detects the location of unknown node position and then it must be able to place optimally to provide extended signal strength and coverage. The proposed design consists of three phases: placement selection using RSSI, placement selection using maximum signal strength and coverage, and predicting location. The proposed model provides an optimal solution to solve localization issues using a metaheuristic optimization algorithm in Long Range Topology based sensor network. The proposed model is implemented in MATLAB environment provides 84% of accuracy, 16% of error values and local delay, localization time, path loss, Mean Square Error, RSSI simulation, number of transmitted packets also obtained, this reveals the effectiveness of the proposed model.

Automated summary

Wireless underground networks are able to monitor physical parameters underground continuously, overcoming challenges of limited coverage, high deployment costs, complex network topology, and difficult node placement. This research proposes a localization model using a metaheuristic optimization algorithm, achieving high accuracy.